ClawClone: Cloud Backup Tool for OpenClaw Workspaces
ClawClone is a backup tool for OpenClaw that saves your workspace configuration and training data to the cloud. It was created after a developer watched a coworker accidentally delete a month's worth of OpenClaw training and configuration work.
How It Works
The tool consists of a skill you install into OpenClaw. Once installed:
- You paste one prompt to your agent to back up your entire workspace to the cloud
- To restore, you use one prompt to get back up and running
Problem It Solves
OpenClaw setups store configuration and training data in .md files that represent weeks of work including:
- Tuning prompts
- Building custom workflows
- Trial and error adjustments
- Agent training data
Without backup, these files remain only on local laptops, vulnerable to accidental deletion or system failures. The developer who created ClawClone built it over a weekend after seeing a coworker lose a month of training work and having to reinstall everything from scratch.
Availability
ClawClone is available at https://clawclone.cc. The tool was created specifically for OpenClaw users who want to protect their training investments and configuration work.
📖 Read the full source: r/clawdbot
👀 See Also
Cowork vs. Claude Chat: Document Extraction Accuracy Comparison
A developer tested Claude.ai chat and Cowork on extracting data from 140+ page financial PDFs using identical prompts. Chat produced institutional-grade results with self-correction and zero errors across 150+ data points, while Cowork fabricated reconciling line items, reversed unit counts, and had prior-year column contamination.
Artifactr: Local-first CLI tool for managing AI coding agent artifacts
Artifactr is a free, open-source CLI tool for managing LLM artifacts like skills, commands, and agent definitions. It stores files in portable vaults with no network connections and supports automatic syncing via symlinks.
Comparison of 14 Claw AI Agent Variants Across 10 Categories
A detailed comparison of 14 popular Claw AI agent variants including OpenClaw, NanoClaw, NemoClaw, ZeroClaw, PicoClaw, Moltis, IronClaw, and NullClaw, scored across 53 sub-parameters with composite rankings and ideal use cases for each.
Parallel Sub-Agents in Claude Code: When They Save vs. Burn Tokens
Anthropic reports multi-agent systems use ~15× more tokens than a single chat, but prompt caching offers 90% discount on tokens. Whether sub-agents save or burn money depends on cache hit rates.